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Paper Citation Record · LEDGER

Semiparametric inference on identification sets in choice modeling

As of 12 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2607.21790.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.21790 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T06:49:52.841613Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

18 of 18 outbound references displayed

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  • verified fuzzy0
  • unresolved17
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External citation measurements

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Outbound references

Observation b61b3f4a-72e3-4f05-a87c-186e07c4fc5a · outbound

This paper cites On the event ∥bN (PN )−b N (P N )∥< η, Assumption 4 gives λ(PN ) =λ(P N ).

Semiparametric inference on identification sets in choice modeling On the event ∥bN (PN )−b N (P N )∥< η, Assumption 4 gives λ(PN ) =λ(P N )

Reference 1

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source=pdf_text observed=2026-08-01T06:49:52.244748Z digest=sha256:b32157f87f4c80291da170170c825c1ec77a9a4fd82cdb4d0da736baf180a210

Observation 3c2134a8-d861-4f8f-9b4c-778cd5df88c0 · outbound

This paper cites Proof of Proposition 1.ConsiderSandTas defined in (16).

Semiparametric inference on identification sets in choice modeling Proof of Proposition 1.ConsiderSandTas defined in (16)

Reference 3

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source=pdf_text observed=2026-08-01T06:49:52.104838Z digest=sha256:4bd029064af8ab1039b8dfc6d8579f213feb6703c8f5f76c57eabd7f97838834

Observation 9121ff5a-5ca8-4dfd-8e90-ecd2ef7c956e · outbound

This paper cites Inverse Reinforcement Learning with Just Classification and a Few Regressions.

Semiparametric inference on identification sets in choice modeling Inverse Reinforcement Learning with Just Classification and a Few Regressions

Reference 11

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source=pdf_text observed=2026-08-01T06:49:51.844747Z digest=sha256:a7b320db8191d9781e6a5b20814ecb1312a07cd7c17f6030ebddb2bc961f0c8e

Observation 20cfc27c-345a-4a38-b799-0730fad69bf5 · outbound

This paper cites For anyNsufficiently large, by realizability ofP N under (Qβ, s), we have that{XN i }i∈[N] is a sequence of independent random variables.

Semiparametric inference on identification sets in choice modeling For anyNsufficiently large, by realizability ofP N under (Qβ, s), we have that{XN i }i∈[N] is a sequence of independent random variables

Reference 12

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source=pdf_text observed=2026-08-01T06:49:52.442567Z digest=sha256:db4a5f2068d270d31bed379a1557c39950b5ccb6a8a7e0cc0c358aaec809ccec

Observation 865ab9b4-62b0-4ab9-86e8-0fe246fe7489 · outbound

This paper cites LetR={r∈Rsuch thatx 0+rv∈ H}.Hbeing bounded implies thatRis bounded.

Semiparametric inference on identification sets in choice modeling LetR={r∈Rsuch thatx 0+rv∈ H}.Hbeing bounded implies thatRis bounded

Reference 16

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source=pdf_text observed=2026-08-01T06:49:52.642320Z digest=sha256:27aec9585592c1d612196c4efca698462b82c3486789a09a3660c452defa4cc7

Observation e964f99b-3cd3-4d8b-a0dc-5194d5ab1f25 · outbound

This paper cites Sinceh(B 0)⊆H, we have Conv(h(B 0))⊆Conv(H), thus Z B h dπ∈Conv(H), hence the induction step and the result.

Semiparametric inference on identification sets in choice modeling Sinceh(B 0)⊆H, we have Conv(h(B 0))⊆Conv(H), thus Z B h dπ∈Conv(H), hence the induction step and the result

Reference 17

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source=pdf_text observed=2026-08-01T06:49:52.716228Z digest=sha256:4daccd7280a079aa85bf810d8155f7f8a900c99abaa7486a5b9e0cbbfc8fc299

Observation 2def8e55-d46f-4943-91a6-d4a55d67951a · outbound

This paper cites Therefore, by the inverse function theorem [Lee, 2003, Theorem 4.5], there exists a neighborhood ˜Vk ofβ ⋆ k on whichFis injective.

Semiparametric inference on identification sets in choice modeling Therefore, by the inverse function theorem [Lee, 2003, Theorem 4.5], there exists a neighborhood ˜Vk ofβ ⋆ k on whichFis injective

Reference 18

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source=pdf_text observed=2026-08-01T06:49:52.841613Z digest=sha256:86b055d5d0cfb648ff8177bce5e44bbad6b281c8251c68a427e4a8bf3087d286

Observation 0add685e-2f95-4cf7-928d-80bdc6d95fa4 · outbound

This paper cites Identification of Average Treatment Effects in Nonparametric Panel Models.

Semiparametric inference on identification sets in choice modeling Identification of Average Treatment Effects in Nonparametric Panel Models

Reference 1951

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source=pdf_text observed=2026-08-01T06:49:50.210119Z digest=sha256:3b3f9c480e52cff173323d2afcc86f198bd6f084158e587e03c973d62ad7af3b

Observation 2501e860-b5bd-4db1-a021-64535c4d32fb · outbound

This paper cites A semiparametric discrete choice model: An application to hospital mergers.Economic Inquiry, 55(4):1919–1944,.

Semiparametric inference on identification sets in choice modeling A semiparametric discrete choice model: An application to hospital mergers.Economic Inquiry, 55(4):1919–1944,

Reference 1975

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source=pdf_text observed=2026-08-01T06:49:51.615302Z digest=sha256:72741d489c853a470c6059d09bf3ea2faff2a1cb39472826e9a2fbb96722eba1

Observation bdc4f71b-78c6-453e-a7e4-af482bf9a97c · outbound

This paper cites Robin L Plackett.

Semiparametric inference on identification sets in choice modeling Robin L Plackett

Reference 1982

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doi, observed 2026-08-01T06:53:36.847135Z

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source=pdf_text observed=2026-08-01T06:49:51.384062Z digest=sha256:955f59bcab18fbbeeadaae714b15fb1103df5dd1fc5d0337f7b62fe6b9a01544

Observation 74a779d3-52bc-4e73-8ab6-6f1dbbbc6f41 · outbound

This paper cites Alfred O Hero and Jeffrey A Fessler.

Semiparametric inference on identification sets in choice modeling Alfred O Hero and Jeffrey A Fessler

Reference 1983

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source=pdf_text observed=2026-08-01T06:49:50.745299Z digest=sha256:680c87205de96add83fc954092190e67e649838dcf4cbc885eb90fd43d9ecc23

Observation 93be2532-953f-406c-9f63-b8282825b077 · outbound

This paper cites Partial identification via conditional linear programs: estimation and policy learning.

Semiparametric inference on identification sets in choice modeling Partial identification via conditional linear programs: estimation and policy learning

Reference 1985

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source=pdf_text observed=2026-08-01T06:49:50.353547Z digest=sha256:af3aa2394d4a26630a3cc0bebf4e36cb0bb0792d11d7d4c44d3fea5191071c1c

Observation 332e3996-425b-4a52-8194-d947b101d7c5 · outbound

This paper cites Beyond tchakaloff quadrature: Positive functionals, frames and widths.arXiv preprint arXiv:2511.15425,.

Semiparametric inference on identification sets in choice modeling Beyond tchakaloff quadrature: Positive functionals, frames and widths.arXiv preprint arXiv:2511.15425,

Reference 1987

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source=pdf_text observed=2026-08-01T06:49:51.754750Z digest=sha256:29c7af92cd6266336fac5a97c5fc2fe7e2a44b63a9ce3d64d513f04294120b64

Observation 7a09756c-20d8-4b3e-b773-126f0691eef7 · outbound

This paper cites Identification in Some Discrete Choice Models: A Computational Approach.

Semiparametric inference on identification sets in choice modeling Identification in Some Discrete Choice Models: A Computational Approach

Reference 1992

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source=pdf_text observed=2026-08-01T06:49:51.084744Z digest=sha256:0664f7382c6dbcb0f4ce4adc01a0615b607559d34440621c0d86902ea4073189

Observation 28c3607f-a2da-466e-978c-2fe9d6894bc9 · outbound

This paper cites The Value of Personalized Recommendations: Evidence from Netflix.

Semiparametric inference on identification sets in choice modeling The Value of Personalized Recommendations: Evidence from Netflix

Reference 2010

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source=pdf_text observed=2026-08-01T06:49:51.954743Z digest=sha256:be942b2da66be593bd493749112e9d536b3a50e2d901d5aee799523524c8a026

Observation ccdabfeb-d926-46cd-896c-0d77fe285024 · outbound

This paper cites Revealed preference at scale: Learning personalized preferences from assortment choices.

Semiparametric inference on identification sets in choice modeling Revealed preference at scale: Learning personalized preferences from assortment choices

Reference 2016

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source=pdf_text observed=2026-08-01T06:49:50.954957Z digest=sha256:1bb0f7527bb27758b598bb88ef3b4cee03e36df9fb01b76cc60be1a1e2cd5f63

Observation ecf88ab9-0795-4242-a27d-25ac3792c2fa · outbound

This paper cites an unresolved cited work.

Semiparametric inference on identification sets in choice modeling Unresolved cited work

Reference 2021

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source=pdf_text observed=2026-08-01T06:49:50.639691Z digest=sha256:334b502fbcbe707bf08e1a2b96657191a4e4600a0f172b31bdd5d85754e8453e

Observation a7d5530c-5be0-4a0c-9bc0-fe82537463e7 · outbound

This paper cites On a theorem of karhunen and related moment problems and quadrature formulae.

Semiparametric inference on identification sets in choice modeling On a theorem of karhunen and related moment problems and quadrature formulae

Reference 2024

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Pith citing papers

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